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GitScrum Tasks MCP Server for LlamaIndex 28 tools — connect in under 2 minutes

Built by Vinkius GDPR 28 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GitScrum Tasks as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to GitScrum Tasks. "
            "You have 28 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in GitScrum Tasks?"
    )
    print(response)

asyncio.run(main())
GitScrum Tasks
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About GitScrum Tasks MCP Server

What you can do

  • Full task lifecycle — create, update, delete, and toggle completion on tasks with rich metadata including types, effort levels, and dates
  • Advanced filtering — query tasks by status, sprint, user story, assignee, label, type, effort, workflow column, blocker flag, and date ranges
  • Subtask management — list, link, unlink subtasks and discover related tasks across your project
  • Checklists — add checklist items with sub-items and toggle completion for granular progress tracking
  • Team coordination — assign and unassign members, duplicate tasks, move between projects, and set story points
  • Comments — list, create, update, and delete task comments for rich collaboration context

LlamaIndex agents combine GitScrum Tasks tool responses with indexed documents for comprehensive, grounded answers. Connect 28 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

The GitScrum Tasks MCP Server exposes 28 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GitScrum Tasks to LlamaIndex via MCP

Follow these steps to integrate the GitScrum Tasks MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 28 tools from GitScrum Tasks

Why Use LlamaIndex with the GitScrum Tasks MCP Server

LlamaIndex provides unique advantages when paired with GitScrum Tasks through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine GitScrum Tasks tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain GitScrum Tasks tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query GitScrum Tasks, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what GitScrum Tasks tools were called, what data was returned, and how it influenced the final answer

GitScrum Tasks + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the GitScrum Tasks MCP Server delivers measurable value.

01

Hybrid search: combine GitScrum Tasks real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query GitScrum Tasks to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GitScrum Tasks for fresh data

04

Analytical workflows: chain GitScrum Tasks queries with LlamaIndex's data connectors to build multi-source analytical reports

GitScrum Tasks MCP Tools for LlamaIndex (28)

These 28 tools become available when you connect GitScrum Tasks to LlamaIndex via MCP:

01

assign_member

Assign a user to a task

02

create_checklist_item

Use parent_id to create sub-items. Add a checklist item to a task

03

create_comment

Supports rich text content. Add a comment to a task

04

create_task

Create a new task

05

create_task_type

g., Chore, Tech Debt) with a hex color code. Create a new task type

06

delete_comment

Delete a comment

07

delete_task

This action cannot be undone. Delete a task permanently

08

duplicate_task

Duplicate a task

09

get_task

Get task details by UUID

10

get_task_by_code

g., WEB-42) instead of UUID. Get task by human-readable code

11

link_subtask

Link an existing task as a subtask

12

list_checklists

List checklists on a task

13

list_comments

Comments support rich text. List comments on a task

14

list_effort_levels

List effort/priority levels

15

list_subtasks

List subtasks of a task

16

list_task_types

) with their colors. List task types in a project

17

list_tasks

Filter by status (todo, in-progress, done), sprint, user_story, users, labels, type, effort, workflow, is_blocker, is_archived, unassigned, created_at (YYYY-MM-DD=YYYY-MM-DD), closed_at, per_page. List tasks with advanced filters

18

move_task_to_project

Move a task to a different project

19

my_tasks

Get all tasks assigned to me

20

my_today_tasks

Get tasks due today

21

related_tasks

Get tasks related to a task

22

set_task_estimate

Set story points / estimate for a task

23

toggle_checklist_item

Toggle a checklist item done/undone

24

toggle_task_done

Toggle task completion status

25

unassign_member

Remove a user from a task

26

unlink_subtask

Unlink a subtask

27

update_comment

Edit an existing comment

28

update_task

Update an existing task

Example Prompts for GitScrum Tasks in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with GitScrum Tasks immediately.

01

"Show me all in-progress tasks in the web-app project."

02

"Create a bug task 'Login timeout on slow connections' in web-app and assign it to janedoe."

03

"Add a checklist to task WEB-42 with items for 'Write unit tests', 'Update docs', and 'Deploy to staging'."

Troubleshooting GitScrum Tasks MCP Server with LlamaIndex

Common issues when connecting GitScrum Tasks to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GitScrum Tasks + LlamaIndex FAQ

Common questions about integrating GitScrum Tasks MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GitScrum Tasks tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect GitScrum Tasks to LlamaIndex

Get your token, paste the configuration, and start using 28 tools in under 2 minutes. No API key management needed.